code: def hybrid_forward(self, F, x: Tensor) -> Tuple[Tensor]:
      return (self.value * F.ones_like(x.sum(axis=-1)),)
  
imports: from typing import Dict, List, Optional, Tuple, Type
  import mxnet
  import numpy
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .distribution import Distribution, _sample_multiple, getF
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 2 for calling the DeterministicArgProj obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: unknown